Description Usage Arguments Value Author(s) Examples
View source: R/enrichedFragments.R
Get the enrichment signals for nucleosome-free fagments and nucleosomes.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | enrichedFragments(
  bamfiles,
  index = bamfiles,
  gal,
  TSS,
  librarySize,
  upstream = 1010L,
  downstream = 1010L,
  n.tile = 101L,
  normal.method = "quantile",
  adjustFragmentLength = 80L,
  TSS.filter = 0.5,
  seqlev = paste0("chr", c(1:22, "X", "Y"))
)
 | 
| bamfiles | A vector of characters indicates the file names of bams. | 
| index | The names of the index file of the 'BAM' file being processed; This is given without the '.bai' extension. | 
| gal | A GAlignmentsList object or a list of GAlignmentPairs. If bamfiles is missing, gal is required. | 
| TSS | an object of GRanges indicates the transcript start sites. All the width of TSS should equal to 1. Otherwise, TSS will be reset to the center of input TSS. | 
| librarySize | A vector of numeric indicates the library size. Output of estLibSize | 
| upstream, downstream | numeric(1) or integer(1). Upstream and downstream size from each TSS. | 
| n.tile | numeric(1) or integer(1). The number of tiles to generate for each element of TSS. | 
| normal.method | character(1). Normalization methods, could be "none" or "quantile". See normalizeBetweenArrays. | 
| adjustFragmentLength | numeric(1) or integer(1). The size of fragment to be adjusted to. Default is set to half of the nucleosome size (80) | 
| TSS.filter | numeric(1). The filter for signal strength of each TSS. Default 0.5 indicates the average signal strength for the TSS from upstream to downstream bins should be greater than 0.5. | 
| seqlev | A vector of character indicates the sequence names to be considered. | 
A list of matrixes. In each matrix, each row record the signals for corresponding feature.
Jianhong Ou
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | bamfiles <- system.file("extdata", "splited",
                       c("NucleosomeFree.bam",
                         "mononucleosome.bam",
                         "dinucleosome.bam",
                         "trinucleosome.bam"), package="ATACseqQC")
library(TxDb.Hsapiens.UCSC.hg19.knownGene)
txs <- transcripts(TxDb.Hsapiens.UCSC.hg19.knownGene)
TSS <- promoters(txs, upstream=0, downstream=1)
library(ChIPpeakAnno)
librarySize <- estLibSize(bamfiles)
sigs <- enrichedFragments(bamfiles, TSS=TSS, librarySize=librarySize,
                          seqlev="chr1", TSS.filter=0)
sigs.log2 <- lapply(sigs, function(.ele) log2(.ele+1))
featureAlignedHeatmap(sigs.log2, reCenterPeaks(TSS, width=2020),
                      zeroAt=.5, n.tile=101, upper.extreme=2)
featureAlignedDistribution(sigs, reCenterPeaks(TSS, width=2020),
                           zeroAt=.5, n.tile=101, type="l")
 | 
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